Decision Scientist II Job at Retail Insight (Chicago)

Scientist II, In Vivo, Enzymatic and Metabolic Therapeutic Area

The Scientist will join the Enzymatic and Metabolic In Vivo team to design and e...

Location

United States , Petaluma, CA

Salary:

116000.00 - 159500.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

PhD in a related subject area with demonstrated in vivo research experience in metabolic disease
Postdoctoral or industry (2-5 years preferred) experience in genetic metabolic diseases
Extensive hands-on experience with rodent in vivo work in the metabolic field
Demonstrated experience in metabolic biology/disease research in academia or industry (preferred) including publication record
Strong analytical, problem-solving, and decision-making skills
Strong understanding of genetically engineered models, breeding, and management and Gene therapy modalities
Excellent oral and written communication skills
Passion for contributing your scientific skills to develop therapies for patients in need
Must be able to utilize computer databases for analysis, data entry, and point of care observations
Must be able to work under time constraints with minimal direction of day-to-day responsibilities, including collaboratively working with multidisciplinary teams

Job Responsibility

Conduct research on genetic metabolic diseases
Contribute to novel therapeutic programs based on innovative, ground-breaking discoveries that could lead to new, high-impact opportunities for patients
Perform research and publish findings in high-impact journals and present research at major conferences
Effectively partner with other scientists and the Research and Early Development team to develop and execute on the program's strategic plan
Present program data at a range of internal forums, including project team meetings, Research Department Seminars and Research leadership governance forums
Write, review and contribute to study synopses, protocols, study reports and regulatory documents
Collaborate with various BioMarin functions, CROs, university or analytical laboratories, business partners, as necessary to ensure appropriate/timely progression of projects
Participate in multi-disciplinary drug development teams and may lead sub-teams
Execute hands-on responsibilities including but not limited to animal handling and restraint (rodents), administration via various routes of administration, including intravenous (tail-vein), in-life animal health monitoring and measurements, clinical observations, sample collection and processing, and accurate data collection
Provide daily care and monitoring of mice or rats, including health checks and documentation

What we offer

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Fulltime

Senior Clinical Laboratory Scientist

The Senior Clinical Laboratory Scientist will be responsible for performing mode...

Location

United States , Madison

Salary:

69000.00 - 122000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Associate degree in a laboratory science (chemical or biological science) or medical laboratory technology from an accredited institution or equivalent laboratory training and experience as defined: 60 semester hours or equivalent from an accredited institution that, at a minimum, includes either 24 semester hours of medical laboratory technology courses, OR 24 semester hours of science courses that include six semester hours of chemistry, six semester hours of biology, and 12 semester hours of chemistry, biology or medical laboratory technology in any combination
3+ years of high complexity clinical testing experience in a clinical laboratory setting
Demonstrated strong professionalism and leadership skills
Demonstrated intermediate level project management skills
Demonstrated strong technical skills and professional working knowledge of job industry
Demonstrated ability to perform the Essential Duties of the position with or without accommodation
Authorization to work in the United States without sponsorship

Job Responsibility

Perform moderate and highly complex laboratory tests, procedures, and analyses according to the laboratory’s standard operating procedures with minimal supervision
Perform, review, and document laboratory quality control procedures
Identify potential problems, determine potential solutions, and take appropriate action in order to maintain a high level of quality in test processes and results
Achieve and maintain competency on laboratory tasks
Participate in research, validation, and/or implementation of new procedures and/or technologies
Maintain stringent standards for quality, by identifying, investigating, correcting, and documenting any issues which might adversely impact the quality of test results and/or employee safety, and communicating these to the appropriate management representatives as necessary for resolution
Determine appropriate time allocation between daily test processing needs and project needs in a high quality, efficient and effective manner with minimal direction
Demonstrate and maintain effective communication with internal employees, managers, customers, and cross-functional teams
Model behaviors that promote high productivity, quality and maintaining TAT
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork

What we offer

Paid time off (including days for vacation, holidays, volunteering, and personal time)
Paid leave for parents and caregivers
A retirement savings plan
Wellness support
Health benefits including medical, prescription drug, dental, and vision coverage
Bonus eligibility

Fulltime

Scientist II, Consumer Experience

Scientists at Uber use data to measure, analyze, and optimize all of Uber's prod...

Location

United States , San Francisco

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry)
Experience in experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Proficiency in Python/R and SQL

Job Responsibility

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions
Define how our teams measure success by developing and tracking metrics
Develop models to predict user app behavior and build personalized experiences
Collaborate with other Scientists and Engineers to build and improve data foundations
Present findings to business and executive audiences

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits (details at https://www.uber.com/careers/benefits)

Fulltime

New

Scientist II - Reservations

The Reserve product is a maturing product, most of the “low hanging fruit” initi...

Location

United States , Seattle

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.)
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git
Good understanding of experimental design and analysis (e.g., A/B and market-level experiments), causal inference
Good business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions

Job Responsibility

Deploy a wide variety of methodologies, including causal inference techniques, experiments, funnel analyses, ML modeling and Optimization algorithms to solve real world business and customer problems
Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy
Present findings to technical and non-technical audiences

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Scientist II, Courier Fleets

In many of our most complex, highly regulated and fast growing marketplaces, thi...

Location

United States , New York; Seattle; Sunnyvale

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If Ph.D, or M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent)
Strong Python or R foundations and expertise
Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics
Experience in experimental design and analysis
Ability to work in both self-guided manner as well as in collaborations with other scientists and cross functional partners
Good communication skills across technical, non-technical and executive audiences

Job Responsibility

Deploy a wide variety of methodologies, including advanced experimentation and econometric modeling, to evaluate technical, product, and business decisions
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions
Work together with Product, Operations, Engineering and other Science partners to drive strategies, product roadmap and marketplace tech to empower business success
Present findings to business and executive audiences

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

New

Applied Scientist II - Microsoft Edge (Browser)

Come build the future of AI-powered browsing with the Microsoft Edge team. We ar...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, statistics, engineering, or a related field (machine learning, data science)
OR a Master’s degree in a related field AND 4+ years of experience
Solid understanding of core machine learning concepts (e.g., predictive modeling, classification, optimization) and hands-on experience developing models from scratch to production
Proficiency with ML frameworks such as PyTorch or TensorFlow is highly desirable
Strong coding skills in Python (pandas, PyTorch/TensorFlow, scikit-learn, etc.)
Experience writing efficient code for data processing and model inference in a production environment
Proven ability to analyze and derive insights from large, complex datasets
Experience with data tools and pipelines (SQL, Spark/Hadoop, or Azure Machine Learning pipelines) for handling “big data” is a plus
Excellent analytical and problem-solving skills with a track record of driving improvements through experimentation and data-driven decision making
Ability to design sound experiments and interpret results correctly (statistical rigor, significance testing, etc.)

Job Responsibility

Develop and integrate AI/ML features: Collaborate with product and engineering teams to identify opportunities for AI-driven improvements in Edge and design features that improve user experience
Design, train, and refine ML models (including deep learning and reinforcement learning approaches) to power new browser experiences
Conduct offline experiments and online A/B tests to generate insights and evaluate model performance and feature impact
Build and maintain end-to-end data pipelines and tools for development and inference (from data collection through model deployment)
Stay up-to-date with the latest research trends in machine learning and AI
Mentor and share knowledge with team members to raise the technical bar

Fulltime

New

Scientist II, Airports and Travel

Airports and Travel is one of the fastest growing segments of Uber. We focus on ...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

161000.00 - 179000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus)
Mininum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets
Proficiency with Python and SQL for exploratory data analysis and modeling
Excellent analytical skills, with experience extracting user behavior insights from large datasets
Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics
Exceptional communication skills across technical, non-technical, and executive audiences

Job Responsibility

Solve open-ended and ambitious business problems using data (e.g. how can we increase Uber Eats usage for travelers by 50%? What is the biggest pain point that reduces Uber usage while traveling internationally?)
Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy
Define metrics that best measure business health, and monitor them to ensure strong execution
Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Applied Scientist II

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, ...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Building and owning production machine learning models to improve results.
Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Fulltime

Decision Scientist II

Retail Insight

Location:
United States , Chicago

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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